Literature DB >> 11262874

Molecular profiling of human cancer.

L Liotta1, E Petricoin.   

Abstract

Traditionally, tumours have been categorized on the basis of histology. However, the staining pattern of cancer cells viewed under the microscope is insufficient to reflect the complicated underlying molecular events that drive the neoplastic process. By surveying thousands of genes at once, using DNA arrays, it is now possible to read the molecular signature of an individual patient's tumour. When the signature is analysed with clustering algorithms, new classes of cancer emerge that transcend distinctions based on histological appearance alone. Using DNA arrays, protein arrays and appropriate experimental models, the ultimate goal is to move beyond correlation and classification to achieve new insights into disease mechanisms and treatment targets.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11262874     DOI: 10.1038/35049567

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  81 in total

1.  Arrays of arrays for high-throughput gene expression profiling.

Authors:  P P Zarrinkar; J K Mainquist; M Zamora; D Stern; J B Welsh; L M Sapinoso; G M Hampton; D J Lockhart
Journal:  Genome Res       Date:  2001-07       Impact factor: 9.043

2.  Expression profiling of human tumors: the end of surgical pathology?

Authors:  M Ladanyi; W C Chan; T J Triche; W L Gerald
Journal:  J Mol Diagn       Date:  2001-08       Impact factor: 5.568

3.  Multicolor deconvolution microscopy of thick biological specimens.

Authors:  Christine Maierhofer; Rainer Gangnus; Joachim Diebold; Michael R Speicher
Journal:  Am J Pathol       Date:  2003-02       Impact factor: 4.307

4.  Functional cloning, sorting, and expression profiling of nucleic acid-binding proteins.

Authors:  Y Ramanathan; Haibo Zhang; Virginie Aris; Patricia Soteropoulos; Stuart A Aaronson; Peter P Tolias
Journal:  Genome Res       Date:  2002-08       Impact factor: 9.043

5.  Multiplex mRNA assay using electrophoretic tags for high-throughput gene expression analysis.

Authors:  Huan Tian; Liching Cao; Yuping Tan; Stephen Williams; Lili Chen; Tracy Matray; Ahmed Chenna; Sean Moore; Vincent Hernandez; Vivian Xiao; Mengxiang Tang; Sharat Singh
Journal:  Nucleic Acids Res       Date:  2004-09-08       Impact factor: 16.971

6.  Dasatinib synergizes with both cytotoxic and signal transduction inhibitors in heterogeneous breast cancer cell lines--lessons for design of combination targeted therapy.

Authors:  Brian J Park; Zakary L Whichard; Seth J Corey
Journal:  Cancer Lett       Date:  2012-02-02       Impact factor: 8.679

7.  Use of microarrays with different probe sizes for monitoring gene expression.

Authors:  Zhili He; Liyou Wu; Matthew W Fields; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

8.  Multiplexed microRNA Expression Profiling by Combined Asymmetric PCR and Label-Free Detection using Silicon Photonic Sensor Arrays.

Authors:  Richard M Graybill; Maria C Cardenosa-Rubio; Hongwei Yang; Mark D Johnson; Ryan C Bailey
Journal:  Anal Methods       Date:  2018-03-23       Impact factor: 2.896

9.  Strong-association-rule mining for large-scale gene-expression data analysis: a case study on human SAGE data.

Authors:  Céline Becquet; Sylvain Blachon; Baptiste Jeudy; Jean-Francois Boulicaut; Olivier Gandrillon
Journal:  Genome Biol       Date:  2002-11-21       Impact factor: 13.583

10.  Gene profiles between non-invasive and invasive colon cancer using laser microdissection and polypeptide analysis.

Authors:  Jin-Shui Zhu; Hua Guo; Ming-Quan Song; Guo-Qiang Chen; Qun Sun; Qiang Zhang
Journal:  World J Gastroenterol       Date:  2008-10-14       Impact factor: 5.742

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.